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ORCIDSungnyun Kim
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- affiliation: Korea Advanced Institute of Science and Technology, Graduate School of Artificial Intelligence, Seoul, South Korea
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2020 – today
- 2026
[j3]Sungnyun Kim
, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn:
DiffBlender: Composable and versatile multimodal text-to-image diffusion models. Expert Syst. Appl. 297: 129345 (2026)- 2025
- [j2]Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun:
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. Trans. Mach. Learn. Res. 2025 (2025) - [c14]Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun:
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. ICLR 2025 - [c13]Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun:
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. ICML 2025 - [c12]Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun:
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. ICML 2025 - [i23]Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun:
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. CoRR abs/2502.10447 (2025) - [i22]Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun:
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. CoRR abs/2503.07067 (2025) - [i21]Sungwoo Cho, Jeongsoo Choi, Sungnyun Kim, Se-Young Yun:
MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation. CoRR abs/2503.11026 (2025) - [i20]Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun:
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. CoRR abs/2504.18539 (2025) - [i19]Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, Se-Young Yun:
Flex-Judge: Think Once, Judge Anywhere. CoRR abs/2505.18601 (2025) - [i18]Sangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron C. Courville, Se-Young Yun:
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation. CoRR abs/2507.10524 (2025) - [i17]Sungnyun Kim, Kangwook Jang, Sungwoo Cho, Joon Son Chung, Hoirin Kim, Se-Young Yun:
Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses. CoRR abs/2510.13281 (2025) - [i16]Sungnyun Kim:
Scalable Frameworks for Real-World Audio-Visual Speech Recognition. CoRR abs/2512.14083 (2025) - 2024
- [c11]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. EMNLP 2024: 3167-3193 - [c10]Kangwook Jang, Sungnyun Kim, Hoirin Kim:
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models. ICASSP 2024: 10721-10725 - [c9]Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun:
DistiLLM: Towards Streamlined Distillation for Large Language Models. ICML 2024: 24872-24895 - [c8]Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun:
Learning Video Temporal Dynamics With Cross-Modal Attention For Robust Audio-Visual Speech Recognition. SLT 2024: 447-454 - [i15]Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun:
DistiLLM: Towards Streamlined Distillation for Large Language Models. CoRR abs/2402.03898 (2024) - [i14]Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun:
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. CoRR abs/2406.02355 (2024) - [i13]Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun:
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition. CoRR abs/2407.03563 (2024) - [i12]Jihwan Oh, Sungnyun Kim, Gahee Kim, Sunghwan Kim, Se-Young Yun:
Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning. CoRR abs/2408.13092 (2024) - [i11]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. CoRR abs/2410.03061 (2024) - 2023
- [c7]Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun:
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI 2023: 197-205 - [c6]Sungnyun Kim, Sangmin Bae, Se-Young Yun:
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CVPR 2023: 7537-7547 - [c5]Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim:
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. INTERSPEECH 2023: 316-320 - [c4]Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun:
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. INTERSPEECH 2023: 5436-5440 - [i10]Sungnyun Kim, Sangmin Bae, Se-Young Yun:
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CoRR abs/2303.11101 (2023) - [i9]Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim:
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. CoRR abs/2305.11685 (2023) - [i8]Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun:
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. CoRR abs/2305.14032 (2023) - [i7]Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn:
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models. CoRR abs/2305.15194 (2023) - [i6]Kangwook Jang, Sungnyun Kim, Hoirin Kim:
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models. CoRR abs/2312.09040 (2023) - 2022
- [j1]Sungnyun Kim, Se-Young Yun:
Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch. IEEE Access 10: 53894-53908 (2022) - [c3]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM 2022: 4359-4363 - [c2]Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun:
Real-time and Explainable Detection of Epidemics with Global News Data. Healthcare AI and COVID-19 Workshop 2022: 73-90 - [c1]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS 2022 - [i5]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR abs/2202.01339 (2022) - [i4]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR abs/2205.05282 (2022) - [i3]Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun:
Revisiting the Updates of a Pre-trained Model for Few-shot Learning. CoRR abs/2205.07874 (2022) - 2021
- [i2]Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun:
Self-Contrastive Learning. CoRR abs/2106.15499 (2021) - 2020
- [i1]Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun:
MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR abs/2010.06300 (2020)
Coauthor Index
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